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Code with Brij

Code with Brij

رفتن به کانال در Telegram

📈 تحلیل کانال تلگرام Code with Brij

کانال Code with Brij (@codewithbrij) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 14 008 مشترک است و جایگاه 9 187 را در دسته فناوری و برنامه‌ها و رتبه 2 750 را در منطقه ماليزيا دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 14 008 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 24 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -163 و در ۲۴ ساعت گذشته برابر -3 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 10.80% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً N/A% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 0 بازدید دریافت می‌کند. در اولین روز معمولاً 0 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 0 است.

📝 توضیح و سیاست محتوایی

توضیحی برای کانال ارائه نشده است.

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 25 ژوئن, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

14 008
مشترکین
-324 ساعت
-287 روز
-16330 روز
آرشیو پست ها
Owning an iPhone 14 doesn’t make us a tech guru, just as naming a few AI tools doesn’t mean we've mastered AI. It's like having the latest gear but missing out on its transformative power! To truly lead in the tech world, it’s not about listing fancy tools. It's about CREATING and INNOVATING with AI.

As another week comes to a close, here's a quick recap of what we've been discussing in case you missed it: https://www.linkedin.com/posts/brijpandeyji_softwareengineering-systemdesign-dataengineering-activity-7093657335398584320-lYVZ 1️⃣ 𝗛𝗼𝘄 𝗦𝗲𝗮𝗿𝗰𝗵 𝗘𝗻𝗴𝗶𝗻𝗲𝘀 𝗪𝗼𝗿𝗸 : A Must-Know for IT Professionals - https://lnkd.in/e3azPYaN 2️⃣ 𝗡𝗲𝘁𝗳𝗹𝗶𝘅 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 - https://lnkd.in/exH9Tbxs 3️⃣ 𝗗𝗼𝗰𝗸𝗲𝗿 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 - https://lnkd.in/eBvrRRds 4️⃣ 𝗧𝗼𝗽 𝟵 𝗛𝗧𝗧𝗣 𝗥𝗲𝗾𝘂𝗲𝘀𝘁 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 - https://lnkd.in/egRvXQCx 5️⃣ 𝗛𝗼𝘄 𝗗𝗷𝗮𝗻𝗴𝗼 𝗪𝗼𝗿𝗸𝘀 - https://lnkd.in/eDQebg95 6️⃣ 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗶𝗻𝗴 𝗧𝗶𝗸𝗧𝗼𝗸 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝘁𝗼 𝗮 𝟭𝟬-𝗬𝗲𝗮𝗿-𝗢𝗹𝗱 - https://lnkd.in/eHv7yNUJ 7️⃣ 𝗧𝗼𝗽 '𝗔𝘀 𝗮 𝗦𝗲𝗿𝘃𝗶𝗰𝗲' (𝗮𝗮𝗦) 𝘁𝗼𝗼𝗹𝘀 𝗼𝗳 𝟮𝟬𝟮𝟯 𝘁𝗵𝗮𝘁 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘀𝗮𝘃𝗲 𝘁𝗶𝗺𝗲, 𝗺𝗼𝗻𝗲𝘆, 𝗮𝗻𝗱 𝗵𝗲𝗮𝗱𝗮𝗰𝗵𝗲𝘀 - https://lnkd.in/eWGfSjhB

You may want to take a look at my latest Linkedin post - How Instagram Was Built. Your feedback at this post will be highly appreciated - https://www.linkedin.com/posts/brijpandeyji_python-django-softwareengineering-activity-7092828969971896320-_Oyx

Hello dear friends, I hope this message finds you in the best of spirits. I just wanted to reach out and see how each one of you is doing. In our channel, we’re more than just a group of individuals with common interests. We're a family who supports each other on this journey of continuous learning. Today, I'm here with another opportunity that I believe you will find intriguing. It's a free webinar designed to help you gain more skills, understand new concepts, and ultimately build something to enhance your portfolio. Yes, you read that right – it's completely FREE. No hidden costs, no selling gimmicks, nothing to buy at all. I want to make it clear that while I will indeed receive a small gift if you join this webinar, I'm sharing it with you because I truly believe in its value and potential benefits for all of us. Remember, I never endorse anything unless I see a real opportunity for us to learn and grow together. This is a win-win situation, my friends. You'll learn something new and exciting, build something valuable for your portfolio, and above all, we grow together as a community. Use this link to sign up: https://lnkd.in/dC-GQYWC Looking forward to seeing you there! Stay safe, stay curious, and keep learning. Best, Brij

4 Useful Developer Handbook for Beginners 🔥🔥 1. Tech Interview Handbook https://github.com/yangshun/tech-interview-handbook 2. Front-End Interview Handbook https://github.com/yangshun/front-end-interview-handbook 3. Developer Handbook https://github.com/apptension/developer-handbook 4. Spellbook of Modern WebDev https://github.com/dexteryy/spellbook-of-modern-webdev

Hello My friends, Good Morning! 🌞 I hope you've all had a refreshing weekend and are ready to dive into a new week full of opportunities. We know Monday can be a tough day to start but remember, it's also the beginning of a week where you can make a difference! In case you missed it, I've recently made a post on LinkedIn that I believe might be interesting and valuable to all of you. It's about [briefly describe the LinkedIn post content]. I've put a lot of thought and effort into creating it and would love to hear what you think about it. Here's the link to the post: https://www.linkedin.com/posts/brijpandeyji_netflix-softwareengineering-systemdesign-activity-7091775633046806529-c39Y Your opinions and thoughts are really important to me. If you could take out a few minutes to check it out and share your feedback, that would be greatly appreciated. Feel free to drop your comments, or even share the post if you find it valuable. Wishing you a productive Monday and a fantastic week ahead. Let's conquer the day, together! 🚀 Best, Brij

I want to take a moment to express how grateful I am for this extraordinary week. I have been overwhelmed by the sheer number of direct messages I've received, each one a testament to our engaged and active community. In the flurry of interaction, I'm aware that I might not have been able to respond to all your messages. If you're one of those I couldn't get back to, please accept my sincere apologies. It's not a lack of interest, but simply the volume of DMs I receive in a day that may lead to some slipping through. In case you feel you've missed out on any key updates or discussions, don't worry! I have posted a comprehensive recap on LinkedIn to ensure everyone stays in the loop. Please do check it out at your earliest convenience. - https://www.linkedin.com/posts/brijpandeyji_softwareengineering-systemdesign-dataengineering-activity-7091084729189318656-54HA Thank you once again for your continued engagement and for making this such a dynamic space for conversation and collaboration. Here's to another great week ahead! Best regards, Brij

Resources to learn Web Development For Free ! 1. HTML and CSS http://youtu.be/mU6anWqZJcc 2. CSS http://css-tricks.com 3. Git & GitHub http://udemy.com/share/101u5y 4. Tailwind CSS http://scrimba.com/learn/tailwind 5. JavaScript http://javascript30.com 6. React JS http://scrimba.com/learn/learnreact 7. Node JS http://nodejsera.com/30-days-of-node.html 8. Database: ✨MySQL http://mysql.com ✨MongoDB http://mongodb.com

🚦Top 10 Data Science Tools🚦 Here we will examine the top best Data Science tools that are utilized generally by data researchers and analysts. But prior to beginning let us discuss about what is Data Science. 🛰What is Data Science ? Data science is a quickly developing field that includes the utilization of logical strategies, calculations, and frameworks to extract experiences and information from organized and unstructured data . 🗽Top Data Science Tools that are normally utilized : 1.) Jupyter Notebook : Jupyter Notebook is an open-source web application that permits clients to make and share archives that contain live code, conditions, representations, and narrative text . 2.) Keras : Keras is a famous open-source brain network library utilized in data science. It is known for its usability and adaptability. Keras provides a range of tools and techniques for dealing with common data science problems, such as overfitting, underfitting, and regularization. 3.) PyTorch : PyTorch is one more famous open-source AI library utilized in information science. PyTorch also offers easy-to-use interfaces for various tasks such as data loading, model building, training, and deployment, making it accessible to beginners as well as experts in the field of machine learning. 4.) TensorFlow : TensorFlow allows data researchers to play out an extensive variety of AI errands, for example, image recognition , natural language processing , and deep learning. 5.) Spark : Spark allows data researchers to perform data processing tasks like data control, investigation, and machine learning , rapidly and effectively. 6.) Hadoop : Hadoop provides a distributed file system (HDFS) and a distributed processing framework (MapReduce) that permits data researchers to handle enormous datasets rapidly. 7.) Tableau : Tableau is a strong data representation tool that permits data researchers to make intuitive dashboards and perceptions. Tableau allows users to combine multiple charts. 8.) SQL : SQL (Structured Query Language) SQL permits data researchers to perform complex queries , join tables, and aggregate data, making it simple to extricate bits of knowledge from enormous datasets. It is a powerful tool for data management, especially for large datasets. 9.) Power BI : Power BI is a business examination tool that conveys experiences and permits clients to make intuitive representations and reports without any problem. 10.) Excel : Excel is a spreadsheet program that broadly utilized in data science. It is an amazing asset for information the board, examination, and visualization .Excel can be used to explore the data by creating pivot tables, histograms, scatterplots, and other types of visualizations.

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I would love if you can give your honest feedback on this work. Is it worth creating illustrations like this ? https://www.linkedin.com/posts/brijpandeyji_softwareengineering-networkadministration-activity-7088160689369812993-0-oD

Looking for a way to stand out in the job market and catch the attention of hiring managers? Consider building data products and showcasing them in your resume/portfolio! 📊💼 https://www.linkedin.com/posts/brijpandeyji_dataproducts-datapipelines-dataengineering-activity-7087843265328091136-4xcm